Grace O’Malley

462 total citations
11 papers, 271 citations indexed

About

Grace O’Malley is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Grace O’Malley has authored 11 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Immunology and 4 papers in Genetics. Recurrent topics in Grace O’Malley's work include Mesenchymal stem cell research (4 papers), Immune cells in cancer (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Grace O’Malley is often cited by papers focused on Mesenchymal stem cell research (4 papers), Immune cells in cancer (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Grace O’Malley collaborates with scholars based in Ireland, United Kingdom and Australia. Grace O’Malley's co-authors include Aideen E. Ryan, Laurence J. Egan, Thomas Ritter, Paul Lohan, Oliver Treacy, Kevin Lynch, Sweta Rani, Niamh Leonard, Philip D. Dunne and Aileen Houston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and The FASEB Journal.

In The Last Decade

Grace O’Malley

11 papers receiving 269 citations

Peers

Grace O’Malley

ONCOL

IMMUN

GENET

Cam Loan Tran Germany

Virgínea Farias Spain

Roberta Montella Italy

Matthew H. Forsberg United States

Vesselin R. Penchev United States

Xinyu Tang China

Joshua T. Eggold United States

Xuping Niu China

R. Huss Germany

Valentina Becherucci Italy

Cam Loan Tran Germany

Grace O’Malley

51 ×0.4

ONCOL

73 ×0.9

IMMUN

115 ×1.5

GENET

80 ×1.1

76 ×1.4

Citations per year, relative to Grace O’Malley Grace O’Malley (= 1×) peers Cam Loan Tran

Countries citing papers authored by Grace O’Malley

Since Specialization

Citations

This map shows the geographic impact of Grace O’Malley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Grace O’Malley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace O’Malley more than expected).

Fields of papers citing papers by Grace O’Malley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace O’Malley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Grace O’Malley. The network helps show where Grace O’Malley may publish in the future.

Co-authorship network of co-authors of Grace O’Malley

This figure shows the co-authorship network connecting the top 25 collaborators of Grace O’Malley. A scholar is included among the top collaborators of Grace O’Malley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Grace O’Malley. Grace O’Malley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Leonard, Niamh, Grace O’Malley, Kerry Thompson, et al.. (2024). Tumor-associated mesenchymal stromal cells modulate macrophage phagocytosis in stromal-rich colorectal cancer via PD-1 signaling. iScience. 27(9). 110701–110701. 8 indexed citations

Arnold, Jeffrey S., et al.. (2023). In vivo Assessment of the Impact of Molecular Weight on Constructs of 68Ga-DOTA-Manocept in a Syngeneic Mouse Tumor Model. Molecular Imaging and Biology. 25(5). 867–874. 1 indexed citations

Lynch, Kevin, Oliver Treacy, Xizhe Chen, et al.. (2020). TGF-β1-Licensed Murine MSCs Show Superior Therapeutic Efficacy in Modulating Corneal Allograft Immune Rejection In Vivo. Molecular Therapy. 28(9). 2023–2043. 52 indexed citations

Leonard, Niamh, Oliver Treacy, Grace O’Malley, et al.. (2020). 864 The mesenchymal stromal compartment in colorectal cancer greatly alters the innate tumour immune microenvironment both in 2D and 3D culture systems. SHILAP Revista de lepidopterología. A514.1–A514. 2 indexed citations

Lynch, Kevin, Kim De Veirman, Niamh Leonard, et al.. (2019). Mesenchymal Stromal Cell Sialylation Modulates Antitumor Immune Responses In Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 19(10). e93–e94. 1 indexed citations

O’Malley, Grace, Oliver Treacy, Kevin Lynch, et al.. (2018). Stromal Cell PD-L1 Inhibits CD8+ T-cell Antitumor Immune Responses and Promotes Colon Cancer. Cancer Immunology Research. 6(11). 1426–1441. 68 indexed citations

O’Malley, Grace, Aileen Houston, Sweta Rani, et al.. (2016). Mesenchymal stromal cells (MSCs) and colorectal cancer: a troublesome twosome for the anti-tumour immune response?. Oncotarget. 7(37). 60752–60774. 52 indexed citations

Ritter, Thomas, Oliver Treacy, Grace O’Malley, et al.. (2016). Extracellular Vesicles Derived From Mesenchymal Stem Cells for Treatment of Ocular Surface Injuries. The FASEB Journal. 30(S1). 1 indexed citations

Barron, Valerie, Georgina Shaw, Cynthia M. Coleman, et al.. (2015). Evaluation of Cartilage Repair by Mesenchymal Stem Cells Seeded on a PEOT/PBT Scaffold in an Osteochondral Defect. Annals of Biomedical Engineering. 43(9). 2069–2082. 23 indexed citations

10.

Barron, Valerie, Sharon Ansboro, Georgina Shaw, et al.. (2015). Evaluation of the Early In Vivo Response of a Functionally Graded Macroporous Scaffold in an Osteochondral Defect in a Rabbit Model. Annals of Biomedical Engineering. 44(5). 1832–1844. 15 indexed citations

11.

Ryan, Aideen E., et al.. (2014). Targeting colon cancer cell NF-κB promotes an anti-tumour M1-like macrophage phenotype and inhibits peritoneal metastasis. Oncogene. 34(12). 1563–1574. 48 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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